Instructions to use erbacher/flanwithanswer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erbacher/flanwithanswer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("erbacher/flanwithanswer") model = AutoModelForSeq2SeqLM.from_pretrained("erbacher/flanwithanswer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from erbacher/flanwithanswer: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/erbacher/flanwithanswer/resolve/main/training_args.bin
- Command line
-
hf download hf://erbacher/flanwithanswer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/erbacher/flanwithanswer/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- 34975eed61d4cbebc5cca22f096b8eba3f9ceccf8311779d9d9a96b80a01d63b
- Size of remote file:
- 3.77 kB
- SHA256:
- dbc1135f5dd416cdcd6c2df7a6950e0d552139e2597247abb68a9a70156b3865
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