-
> Hugging Face Transformers is an open-source framework for deep learning created by Hugging Face. It provides APIs and tools to download state-of-the-art pre-trained models and further tune them to m…
-
- This is a follow up to #148
- In general model weights on huggingface are a bit of a mess because of different implementations in ML libraries. For example, tinygrad implementation of models name t…
-
`pip list | grep "transformers"`
得到:
sentence-transformers 3.0.1
transformers 4.45.0.dev0
----------------------------------------------
进入pytho…
-
ragas 0.2.3
langchain 0.2.16
langchain-chroma 0.1.4
langchain-community 0.2.16
langch…
-
I've been trying to do this assignment for a while, but the images generation takes a very long time, even though I'm the only one in the queue (I can't imagine how worse it'll get as the deadline app…
-
### What is the issue?
Hi thanks for the tool! When reading https://ollama.com/library/llama3.1:8b-instruct-q4_K_M/blobs/11ce4ee3e170, it seems different from https://huggingface.co/meta-llama/Meta-L…
-
Hi, I have been trying to execute your code with the mentioned requirements. However, it seems like it is giving the error
`ImportError: cannot import name 'split_torch_state_dict_into_shards' from '…
-
The section https://huggingface.co/docs/hub/datasets-adding#large-scale-datasets is somewhat small.
I think we could add content copied from https://huggingface.co/docs/hub/repositories-recommendat…
-
Hi everyone,
I’m fairly new with huggingface, and I was wondering if it is possible to locally fine tune SaProt with the SaProtHub datasets, and how to call the models from there as well, rather t…
-
https://huggingface.co/distilroberta-base
https://huggingface.co/roberta-base
Both are cased