Instructions to use SRDdev/MarathiSampark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SRDdev/MarathiSampark with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SRDdev/MarathiSampark") model = AutoModelForSeq2SeqLM.from_pretrained("SRDdev/MarathiSampark", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SRDdev/MarathiSampark: direct link, hf CLI and curl.
- Browser
- Download file 303 MB
-
https://huggingface.co/SRDdev/MarathiSampark/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://SRDdev/MarathiSampark@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SRDdev/MarathiSampark/resolve/refs%2Fpr%2F1/pytorch_model.bin
303 MB
- Xet hash:
- f245c9b008c1d6075a5a86b151aea7ce67240ac88d88b5f665339f91d328c15c
- Size of remote file:
- 303 MB
- SHA256:
- 0dfb03e865d2758ab21dcda5ea582dbe74e45a14b6ca83a31b59f30eb25f5370
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