Instructions to use AlpineHealth/multitask-continlearning-10-31-346samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlpineHealth/multitask-continlearning-10-31-346samples with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AlpineHealth/multitask-continlearning-10-31-346samples") model = AutoModelForSeq2SeqLM.from_pretrained("AlpineHealth/multitask-continlearning-10-31-346samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AlpineHealth/multitask-continlearning-10-31-346samples: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/AlpineHealth/multitask-continlearning-10-31-346samples/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AlpineHealth/multitask-continlearning-10-31-346samples/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AlpineHealth/multitask-continlearning-10-31-346samples/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- 0872ed3f6abb6c0bd9998665bdb32a7b9f8ad7e2c1e1db003aedca6ad08d2bd9
- Size of remote file:
- 3.13 GB
- SHA256:
- cbdf357e9e2a10ac1453057b7cc85c1e39817d1367efd060f0d00cbe15a009a8
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