Instructions to use ceggian/bert_post_trained_reddit_batch512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceggian/bert_post_trained_reddit_batch512 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("ceggian/bert_post_trained_reddit_batch512") model = AutoModelForPreTraining.from_pretrained("ceggian/bert_post_trained_reddit_batch512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ceggian/bert_post_trained_reddit_batch512: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/ceggian/bert_post_trained_reddit_batch512/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ceggian/bert_post_trained_reddit_batch512/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ceggian/bert_post_trained_reddit_batch512/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 733c76953465a60ffc13d25c12f5068b6261d05336704054deb7aa9434b14b27
- Size of remote file:
- 440 MB
- SHA256:
- 31932fd5b858909d3b5a9ac92cc809a6401b7da757c6c7d5735786d2b4900c99
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