Instructions to use ceggian/bart_post_trained_reddit_batch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceggian/bart_post_trained_reddit_batch32 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ceggian/bart_post_trained_reddit_batch32") model = AutoModelForSeq2SeqLM.from_pretrained("ceggian/bart_post_trained_reddit_batch32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ceggian/bart_post_trained_reddit_batch32: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/ceggian/bart_post_trained_reddit_batch32/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ceggian/bart_post_trained_reddit_batch32/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ceggian/bart_post_trained_reddit_batch32/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- bb5dbb226af25249c3fdabcc5be5180f9bbb9e4045bcaefc67f05835a8146650
- Size of remote file:
- 558 MB
- SHA256:
- 431ec0e511f6244a63ddea59b9826dae584737c2dce08d7eb83f87085710ca50
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