Instructions to use Pawel-M/src_ctx_aware_nllb_600M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pawel-M/src_ctx_aware_nllb_600M with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pawel-M/src_ctx_aware_nllb_600M") model = AutoModelForSeq2SeqLM.from_pretrained("Pawel-M/src_ctx_aware_nllb_600M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Pawel-M/src_ctx_aware_nllb_600M: direct link, hf CLI and curl.
- Browser
- Download file 17.3 MB
-
https://huggingface.co/Pawel-M/src_ctx_aware_nllb_600M/resolve/main/tokenizer.json
- Command line
-
hf download hf://Pawel-M/src_ctx_aware_nllb_600M/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Pawel-M/src_ctx_aware_nllb_600M/resolve/main/tokenizer.json
17.3 MB
- Xet hash:
- f42f1c083e11f56592bcb67573c4528670215b4e3ef224c5f1a4d42479348313
- Size of remote file:
- 17.3 MB
- SHA256:
- 527b7a1632eb1561575571e8b98a0e6db9a1af93681a86acd673388b3d26b83a
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