Instructions to use sominw/rel23_conll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sominw/rel23_conll with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sominw/rel23_conll") model = AutoModelForSeq2SeqLM.from_pretrained("sominw/rel23_conll", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sominw/rel23_conll: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/sominw/rel23_conll/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sominw/rel23_conll/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sominw/rel23_conll/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- 34122eef1b05aa4fb2bb23f00ba5d518ba820b540727e79af61bd259ab9faba6
- Size of remote file:
- 3.13 GB
- SHA256:
- cf7ac48567a873c21b0f4c59371d69912fb3ca2a83e5af7ffcb070b304183f66
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