Instructions to use uclanlp/plbart-javascript-en_XX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-javascript-en_XX with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-javascript-en_XX") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-javascript-en_XX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-javascript-en_XX: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-javascript-en_XX/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-javascript-en_XX/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-javascript-en_XX/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 08ec86885bcfd2e8e70218046b464fc9f355787cb970693dadd40b6bf3c9c519
- Size of remote file:
- 557 MB
- SHA256:
- aace2f173d2b69de6e20463e265c643aa5fff7da35cfc90d209cf42d4f8da0d1
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