Instructions to use hsuvaskakoty/bart_temp_dm_10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsuvaskakoty/bart_temp_dm_10k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hsuvaskakoty/bart_temp_dm_10k") model = AutoModelForSeq2SeqLM.from_pretrained("hsuvaskakoty/bart_temp_dm_10k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hsuvaskakoty/bart_temp_dm_10k: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/hsuvaskakoty/bart_temp_dm_10k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hsuvaskakoty/bart_temp_dm_10k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hsuvaskakoty/bart_temp_dm_10k/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 343c28f991f0161c20b5e5ae15acac8b3352df7f026f1208706cceffc4e85ad4
- Size of remote file:
- 558 MB
- SHA256:
- 72bbb541d27d7d02d6f13b14a6f1b8663351c1f354db19c4aaf041892ea0e81e
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