Instructions to use pius-code/asha_nllb_compound_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pius-code/asha_nllb_compound_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pius-code/asha_nllb_compound_v2") model = AutoModelForSeq2SeqLM.from_pretrained("pius-code/asha_nllb_compound_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from pius-code/asha_nllb_compound_v2: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/pius-code/asha_nllb_compound_v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://pius-code/asha_nllb_compound_v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/pius-code/asha_nllb_compound_v2/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- 5cafa96d543709ad2cc9dc96cea56fc1546c61134b863c8d4b4ff00e228b98dc
- Size of remote file:
- 32.2 MB
- SHA256:
- 196db7d89ffc451e12845b2ab412477068c4a082248fe71e33749e567739b4c2
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