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 training_args.bin from SRDdev/MarathiSampark: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/SRDdev/MarathiSampark/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://SRDdev/MarathiSampark@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SRDdev/MarathiSampark/resolve/refs%2Fpr%2F1/training_args.bin
4.09 kB
- Xet hash:
- 12ed16df6063a80d093cd6ec14646c2b52b320f1cb985b34ce5c44de925c00bb
- Size of remote file:
- 4.09 kB
- SHA256:
- 628aa9073bfce03e4c19156ca93c21f6c102e9e59fede08495bd87e02e505b90
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