Instructions to use pfactorial/checkpoint-50-epoch-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pfactorial/checkpoint-50-epoch-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pfactorial/checkpoint-50-epoch-2") model = AutoModelForSeq2SeqLM.from_pretrained("pfactorial/checkpoint-50-epoch-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
--- |- Model card metadata documentation and specifications moved to https://github.com/huggingface/huggingface_hub/ The canonical documentation about model cards is now located at https://huggingface.co/docs/hub/model-repos and you can open a PR to improve the docs in the same repository https://github.com/huggingface/huggingface_hub/tree/main/docs/hub You can also find a spec of the metadata at https://github.com/huggingface/huggingface_hub/blob/main/README.md.
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