Instructions to use datien228/distilbart-wikilingua-autotrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datien228/distilbart-wikilingua-autotrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("datien228/distilbart-wikilingua-autotrain") model = AutoModelForSeq2SeqLM.from_pretrained("datien228/distilbart-wikilingua-autotrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from datien228/distilbart-wikilingua-autotrain: direct link, hf CLI and curl.
- Browser
- Download file 25.1 kB
-
https://huggingface.co/datien228/distilbart-wikilingua-autotrain/resolve/main/sample_input.pkl
- Command line
-
hf download hf://datien228/distilbart-wikilingua-autotrain/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/datien228/distilbart-wikilingua-autotrain/resolve/main/sample_input.pkl
25.1 kB
- Xet hash:
- a89e44ba838c268127323f5926f3288ce4f9ac5151f50c8ee55251f52a83a544
- Size of remote file:
- 25.1 kB
- SHA256:
- 9cc5ca5ec72773558baee18f0d42ee1b7c166d4b133101515e97d6a5046ae7a2
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