Instructions to use Pawel-M/src_ctx_and_term_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_and_term_nllb_600M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Pawel-M/src_ctx_and_term_nllb_600M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Pawel-M/src_ctx_and_term_nllb_600M") model = AutoModel.from_pretrained("Pawel-M/src_ctx_and_term_nllb_600M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Pawel-M/src_ctx_and_term_nllb_600M: direct link, hf CLI and curl.
- Browser
- Download file 2.47 GB
-
https://huggingface.co/Pawel-M/src_ctx_and_term_nllb_600M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Pawel-M/src_ctx_and_term_nllb_600M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Pawel-M/src_ctx_and_term_nllb_600M/resolve/main/pytorch_model.bin
2.47 GB
- Xet hash:
- 8642ec617d7533be71d38a500baffcf0e505d82397566e4698d7354856ff6bf6
- Size of remote file:
- 2.47 GB
- SHA256:
- c038d5c16fe66b7b5c01d026545034f92616f01356da027cfb4f5c3a8d114939
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