Instructions to use ceggian/bert_post_trained_reddit_batch128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceggian/bert_post_trained_reddit_batch128 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("ceggian/bert_post_trained_reddit_batch128") model = AutoModelForPreTraining.from_pretrained("ceggian/bert_post_trained_reddit_batch128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ceggian/bert_post_trained_reddit_batch128: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/ceggian/bert_post_trained_reddit_batch128/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ceggian/bert_post_trained_reddit_batch128/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ceggian/bert_post_trained_reddit_batch128/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- edef3a3baa094b710e53fac06e6674c48c178beb5703226ee9328d5edac3b009
- Size of remote file:
- 440 MB
- SHA256:
- bc44a1f6f3d82e6de6aaa500e695d6e70d723a52aae489fd95edc6cd3ac32d9f
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