Instructions to use Jason8117/bart_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jason8117/bart_finetuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jason8117/bart_finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("Jason8117/bart_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Jason8117/bart_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 187 MB
-
https://huggingface.co/Jason8117/bart_finetuning/resolve/main/tf_model.h5
- Command line
-
hf download hf://Jason8117/bart_finetuning/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Jason8117/bart_finetuning/resolve/main/tf_model.h5
187 MB
- Xet hash:
- a85ba86e69708f2fe2932bea43a2138f986ae2c54e9f05ca46b44323fef438b4
- Size of remote file:
- 187 MB
- SHA256:
- 914cd94de85b162dea1c810c39c55d9ddb37a3dacc102b97cea7bdda3111b47d
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