Instructions to use SzegedAI/bert-base5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-base5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SzegedAI/bert-base5M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-base5M") model = AutoModel.from_pretrained("SzegedAI/bert-base5M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SzegedAI/bert-base5M: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/SzegedAI/bert-base5M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SzegedAI/bert-base5M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SzegedAI/bert-base5M/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 5aeae47533d55d982b33f36050aec0d2e05e7ffd2b048f8f6147976e118947e4
- Size of remote file:
- 433 MB
- SHA256:
- 2cfd181b038ed81c4490e4e27fae26ed44fc2b5606fc7d06f633bd32fbe9b447
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