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 training_args.bin from hsuvaskakoty/bart_temp_dm_10k: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/hsuvaskakoty/bart_temp_dm_10k/resolve/main/training_args.bin
- Command line
-
hf download hf://hsuvaskakoty/bart_temp_dm_10k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hsuvaskakoty/bart_temp_dm_10k/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 6c1136d4b3e932fed5831d1c7b917e25bd807f111b4f38fc3e2a9b981640b586
- Size of remote file:
- 3.71 kB
- SHA256:
- e0355362caf4dd8a655ac372c912feedbf813577c35e4d8a50e1595da39ccb20
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