Instructions to use YtBig/html-bart-78.8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YtBig/html-bart-78.8 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="YtBig/html-bart-78.8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("YtBig/html-bart-78.8") model = AutoModelForSeq2SeqLM.from_pretrained("YtBig/html-bart-78.8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from YtBig/html-bart-78.8: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/YtBig/html-bart-78.8/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://YtBig/html-bart-78.8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/YtBig/html-bart-78.8/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 10ab8e14220486a46d4d6ca7cec2ad8c4acbefcde57e68fc52c1b3e57eb7a6a3
- Size of remote file:
- 558 MB
- SHA256:
- 8456cc0ecf1890e6aff8534d9d883c692b0ea9ee567de186d6048980557164df
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