Instructions to use uthayamurthy/origin-task3-nllb-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use uthayamurthy/origin-task3-nllb-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M") model = PeftModel.from_pretrained(base_model, "uthayamurthy/origin-task3-nllb-lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from uthayamurthy/origin-task3-nllb-lora: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/uthayamurthy/origin-task3-nllb-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://uthayamurthy/origin-task3-nllb-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/uthayamurthy/origin-task3-nllb-lora/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- dffddf03dbdf08b30b223d772f7924dd8c9ce0c6a72b7006433a65e57565e922
- Size of remote file:
- 32.2 MB
- SHA256:
- 30913ddaf8aaf346ec1541b5bd9a3e9e7afafbe4f59311f6e6699b73db584755
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