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 model.safetensors from Ammad1Ali/m2m100_1.2B-2.0-v1: direct link, hf CLI and curl.
- Browser
- Download file 4.96 GB
-
https://huggingface.co/Ammad1Ali/m2m100_1.2B-2.0-v1/resolve/main/model.safetensors
- Command line
-
hf download hf://Ammad1Ali/m2m100_1.2B-2.0-v1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Ammad1Ali/m2m100_1.2B-2.0-v1/resolve/main/model.safetensors
4.96 GB
- Xet hash:
- 0cd4c6447ff10d4c7502f22709b1202f73c404460e6b99865d147734cd35e5c0
- Size of remote file:
- 4.96 GB
- SHA256:
- e214fb4011dc86c5f30dec343afdddaef16a45a3c575cb59632c66dc19fab6eb
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