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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37ac6187a6e184c2203e81f9f18b5714827ff0ebb6b0c65a68e8cc998abcc97e
- Size of remote file:
- 2.47 GB
- SHA256:
- 5e88bf2ab16377521a3666f351b9690ed6a3e570f3ac8852e711a01f8861eecc
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