Instructions to use voxreality/src_ctx_aware_nllb_600M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voxreality/src_ctx_aware_nllb_600M with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="voxreality/src_ctx_aware_nllb_600M")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voxreality/src_ctx_aware_nllb_600M") model = AutoModelForSeq2SeqLM.from_pretrained("voxreality/src_ctx_aware_nllb_600M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aade06e40b94e509d84d4cd52f154cd309cd08823f0a67422f022e22629b669
- Size of remote file:
- 17.3 MB
- SHA256:
- 946b7ed4db3cdebfc1ed4d387ff4b66381ca96029e74b7676568bf920f36d5a2
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