Instructions to use kasunw/en_si_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kasunw/en_si_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kasunw/en_si_model") model = AutoModelForSeq2SeqLM.from_pretrained("kasunw/en_si_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kasunw/en_si_model: direct link, hf CLI and curl.
- Browser
- Download file 17.3 MB
-
https://huggingface.co/kasunw/en_si_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://kasunw/en_si_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kasunw/en_si_model/resolve/main/tokenizer.json
17.3 MB
- Xet hash:
- 3691a399fbf92d1a9fc93ff92c4e10ccdc938b0a8947b5b54e1bc00dcba6f4d7
- Size of remote file:
- 17.3 MB
- SHA256:
- 99bed33a0d1c15951813003d2355e8ff88c2023a0c1f61bc5a92d26e2153bc6b
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