Instructions to use Swamitucats/M2M100_Sanskrit_English with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Swamitucats/M2M100_Sanskrit_English 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="Swamitucats/M2M100_Sanskrit_English")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Swamitucats/M2M100_Sanskrit_English") model = AutoModelForSeq2SeqLM.from_pretrained("Swamitucats/M2M100_Sanskrit_English", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Swamitucats/M2M100_Sanskrit_English: direct link, hf CLI and curl.
- Browser
- Download file 1.94 GB
-
https://huggingface.co/Swamitucats/M2M100_Sanskrit_English/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Swamitucats/M2M100_Sanskrit_English/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/Swamitucats/M2M100_Sanskrit_English/resolve/main/pytorch_model.bin
1.94 GB
- Xet hash:
- dda5a5802f4574f43ec698bf22d75ce535ded8e99483b1fadda48a6137cbcccf
- Size of remote file:
- 1.94 GB
- SHA256:
- c264f94b809b8d1d5688229302265ab78b020ddfc4c6dd972e83eb4ae39e0088
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