Instructions to use Jayveersinh-Raj/hindi-summarizer-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jayveersinh-Raj/hindi-summarizer-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jayveersinh-Raj/hindi-summarizer-small") model = AutoModelForSeq2SeqLM.from_pretrained("Jayveersinh-Raj/hindi-summarizer-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Jayveersinh-Raj/hindi-summarizer-small: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/Jayveersinh-Raj/hindi-summarizer-small/resolve/main/tokenizer.json
- Command line
-
hf download hf://Jayveersinh-Raj/hindi-summarizer-small/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Jayveersinh-Raj/hindi-summarizer-small/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- a235742086317f43489ac59b4d05a9373c9d810ef9852109aaaf5be3aa9b7549
- Size of remote file:
- 16.3 MB
- SHA256:
- 5c2c902377fcf7177fff9bde77762b8bdfdeb69b8efa26d37ba15b1c5203a928
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