Instructions to use SwarajSolanke-turtle/hindhi_pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SwarajSolanke-turtle/hindhi_pretrained with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SwarajSolanke-turtle/hindhi_pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from SwarajSolanke-turtle/hindhi_pretrained: direct link, hf CLI and curl.
- Browser
- Download file 22.8 MB
-
https://huggingface.co/SwarajSolanke-turtle/hindhi_pretrained/resolve/main/tokenizer.json
- Command line
-
hf download hf://SwarajSolanke-turtle/hindhi_pretrained/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SwarajSolanke-turtle/hindhi_pretrained/resolve/main/tokenizer.json
22.8 MB
- Xet hash:
- 943eac2190bc841b30bc637b3c40b86087d790464f6a459cdb3cabe8b76443ef
- Size of remote file:
- 22.8 MB
- SHA256:
- 044e2a10201774018db120391980464472baabf223bd353cea49b17da0b66abc
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