Instructions to use ceggian/bart_post_trained_reddit_batch64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceggian/bart_post_trained_reddit_batch64 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ceggian/bart_post_trained_reddit_batch64") model = AutoModelForSeq2SeqLM.from_pretrained("ceggian/bart_post_trained_reddit_batch64", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ceggian/bart_post_trained_reddit_batch64: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/ceggian/bart_post_trained_reddit_batch64/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ceggian/bart_post_trained_reddit_batch64/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ceggian/bart_post_trained_reddit_batch64/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 22e84a3ce48c0f5f7a3893cba8ece0390488b170c6d19bc5807474af092815b0
- Size of remote file:
- 558 MB
- SHA256:
- c3cc9413f1bdfe2679b4290e4b7842244c7381d84e9807ef6161a94c48ce0c76
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