is this correct ```from llama_index.llms.huggingface im...

@kapa.ai is this correct

Plain Text

from llama_index.llms.huggingface import HuggingFaceLLM
from llama_index.embeddings.huggingface import HuggingFaceEmbedding
from llama_index.core import Settings, VectorStoreIndex, SimpleDirectoryReader
from llama_index.core import ChatPromptTemplate
from llama_index.core.response.notebook_utils import display_response

10 comments

kkapa.ai

Please stand by @andysingal as I search the knowledge base. I normally take about 20 seconds or so. :wave:

kkapa.ai

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Yes, the import statements you provided are correct and are used in various examples of LlamaIndex. Here's a brief explanation of what each import is for:

from llama_index.llms.huggingface import HuggingFaceLLM: This is used to import the HuggingFaceLLM class, which is a wrapper for Hugging Face's language models. source ()

from llama_index.embeddings.huggingface import HuggingFaceEmbedding: This is used to import the HuggingFaceEmbedding class, which is a wrapper for Hugging Face's embedding models. source ()

from llama_index.core import Settings, VectorStoreIndex, SimpleDirectoryReader: These are core components of LlamaIndex. Settings is used to set up the language model and embedding model, VectorStoreIndex is used to create an index from documents, and SimpleDirectoryReader is used to load documents from a directory. source ()

from llama_index.core import ChatPromptTemplate: This is used to create a prompt template for chat-based language models. However, I couldn't find this specific import in the provided sources. It might be a typo or an outdated import. The correct import might be from llama_index.core import PromptTemplate. source ()

kkapa.ai

from llama_index.core.response.notebook_utils import display_response: This is used to display the response from the language model in a notebook. However, I couldn't find this specific import in the provided sources. It might be a typo or an outdated import.

Please make sure to check the latest documentation or the source code of LlamaIndex to ensure the correctness of these imports.
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aandysingal

@kapa.ai ---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py in _get_module(self, module_name)
1566 if attr not in result:
-> 1567 result.append(attr)
1568 return result

32 frames
ImportError: cannot import name 'FbgemmFp8Config' from 'transformers.utils.quantization_config' (/usr/local/lib/python3.10/dist-packages/transformers/utils/quantization_config.py)

The above exception was the direct cause of the following exception:

RuntimeError Traceback (most recent call last)
RuntimeError: Failed to import transformers.modeling_utils because of the following error (look up to see its traceback):
cannot import name 'FbgemmFp8Config' from 'transformers.utils.quantization_config' (/usr/local/lib/python3.10/dist-packages/transformers/utils/quantization_config.py)

The above exception was the direct cause of the following exception:

RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py in _get_module(self, module_name)
1567 result.append(attr)
1568 return result
-> 1569
1570 def getattr(self, name: str) -> Any:
1571 if name in self._objects:

RuntimeError: Failed to import transformers.integrations.integration_utils because of the following error (look up to see its traceback):
Failed to import transformers.modeling_utils because of the following error (look up to see its traceback):
cannot import name 'FbgemmFp8Config' from 'transformers.utils.quantization_config' (/usr/local/lib/python3.10/dist-packages/transformers/utils/quantization_config.py)

kkapa.ai

Let me check the knowledge base for you. One moment! :books:

kkapa.ai

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The error message you're seeing is related to the transformers library, specifically an issue with importing the FbgemmFp8Config from transformers.utils.quantization_config. This could be due to a few reasons:

Your transformers library might be outdated. Try updating it to the latest version using pip:

Plain Text

pip install --upgrade transformers

There might be a mismatch between the version of PyTorch and the transformers library you're using. Ensure that both libraries are compatible with each other.

The FbgemmFp8Config might not be available in the version of the transformers library you're using. You might need to use a different configuration or method for quantization.

Unfortunately, the provided knowledge sources do not contain specific information about this error or how to resolve it. I recommend checking the official documentation of the transformers library or reaching out to their support for more specific guidance.
----------------------
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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aandysingal

@kapa.ai i did %%capture

install dependencies

!pip install --upgrade pip
!pip install --upgrade Pillow
!pip install --upgrade transformers
!pip install --upgrade accelerate
!pip install --upgrade bitsandbytes
!pip install --upgrade pypdf

install more dependencies

!pip install --upgrade llama-index
!pip install --upgrade llama-index-llms-huggingface
!pip install --upgrade llama-index-embeddings-huggingface

kkapa.ai

Let me check the knowledge base for you. One moment! :books:

kkapa.ai

----------------------
Yes, the commands you've written are correct for installing and upgrading the specified Python packages. Here's a brief explanation of what each command does:

!pip install --upgrade pip: This command upgrades pip, which is the package installer for Python.

!pip install --upgrade Pillow: This command upgrades Pillow, a Python Imaging Library.

!pip install --upgrade transformers: This command upgrades the transformers library, which provides state-of-the-art machine learning models like BERT, GPT-2, and RoBERTa.

!pip install --upgrade accelerate: This command upgrades the accelerate library, which is a PyTorch utility for easy distributed training.

!pip install --upgrade bitsandbytes: This command upgrades the bitsandbytes library, which is a PyTorch extension for faster training with reduced precision.

!pip install --upgrade pypdf: This command upgrades the pypdf library, which is a Pure-Python library built as a PDF toolkit.

!pip install --upgrade llama-index: This command upgrades the llama-index package, which is the core package of LlamaIndex.

!pip install --upgrade llama-index-llms-huggingface: This command upgrades the llama-index-llms-huggingface package, which is a LlamaIndex package for using Hugging Face's language models.

!pip install --upgrade llama-index-embeddings-huggingface: This command upgrades the llama-index-embeddings-huggingface package, which is a LlamaIndex package for using Hugging Face's embedding models.

kkapa.ai

Please note that you need to run these commands in a Python environment where you have the necessary permissions to install and upgrade packages. If you're using a Jupyter notebook, you can run these commands directly in a code cell. If you're using a Python script, you might need to run these commands in your terminal or command prompt. source ()
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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is this correct ```from llama_index.llms.huggingface import HuggingFaceLLMfrom llama_inde

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