Instructions to use Ammad1Ali/m2m100_1.2B-2.0-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ammad1Ali/m2m100_1.2B-2.0-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ammad1Ali/m2m100_1.2B-2.0-v1") model = AutoModelForSeq2SeqLM.from_pretrained("Ammad1Ali/m2m100_1.2B-2.0-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sentencepiece.bpe.model from Ammad1Ali/m2m100_1.2B-2.0-v1: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/Ammad1Ali/m2m100_1.2B-2.0-v1/resolve/main/sentencepiece.bpe.model
- Command line
-
hf download hf://Ammad1Ali/m2m100_1.2B-2.0-v1/sentencepiece.bpe.model
-
curl -L -o sentencepiece.bpe.model https://huggingface.co/Ammad1Ali/m2m100_1.2B-2.0-v1/resolve/main/sentencepiece.bpe.model
2.42 MB
- Xet hash:
- 1df8d95de50669f19a2f0522b7f5aa831202e4cb96566ceb5b377c5784a8d1ed
- Size of remote file:
- 2.42 MB
- SHA256:
- d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a
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