Instructions to use khoon485/x-x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khoon485/x-x with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("khoon485/x-x") model = AutoModelForSeq2SeqLM.from_pretrained("khoon485/x-x", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from khoon485/x-x: direct link, hf CLI and curl.
- Browser
- Download file 1.82 MB
-
https://huggingface.co/khoon485/x-x/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://khoon485/x-x@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/khoon485/x-x/resolve/refs%2Fpr%2F1/tokenizer.json
1.82 MB
- Xet hash:
- e5641d0f1295f9d6c42a9792ddbbc1078fb36acbd0fffc74fa07df4fc0960e20
- Size of remote file:
- 1.82 MB
- SHA256:
- 1f91e912ab85ee0faf66eddded1653887e487285d61256df0df83c61f354a842
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