Instructions to use ceggian/bert_post_trained_reddit_batch256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceggian/bert_post_trained_reddit_batch256 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("ceggian/bert_post_trained_reddit_batch256") model = AutoModelForPreTraining.from_pretrained("ceggian/bert_post_trained_reddit_batch256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ceggian/bert_post_trained_reddit_batch256: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/ceggian/bert_post_trained_reddit_batch256/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ceggian/bert_post_trained_reddit_batch256/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ceggian/bert_post_trained_reddit_batch256/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 55b46cd6007b2dfa01135cf6a958ad0521042c3ae90dc4a59014894ab0172f03
- Size of remote file:
- 440 MB
- SHA256:
- cf7a29fa1b987d3204e5f88d2004b4896a65bca48c7702f2bc13f2795b61edcf
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