Instructions to use mirfan899/reviews_sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirfan899/reviews_sum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mirfan899/reviews_sum") model = AutoModelForSeq2SeqLM.from_pretrained("mirfan899/reviews_sum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mirfan899/reviews_sum: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/mirfan899/reviews_sum/resolve/main/tokenizer.json
- Command line
-
hf download hf://mirfan899/reviews_sum/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mirfan899/reviews_sum/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 05e43b3d5f40cad5c654174932fe785ed431d4f46fd9ae5706abbb1ae856dd2b
- Size of remote file:
- 16.3 MB
- SHA256:
- 9fafbc60c2fc60a2be3f255b32038660d0749f2e5d914acdf2d7b3f5e5729f58
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