Instructions to use SzegedAI/bert-medium5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-medium5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SzegedAI/bert-medium5M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-medium5M") model = AutoModel.from_pretrained("SzegedAI/bert-medium5M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SzegedAI/bert-medium5M: direct link, hf CLI and curl.
- Browser
- Download file 162 MB
-
https://huggingface.co/SzegedAI/bert-medium5M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SzegedAI/bert-medium5M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SzegedAI/bert-medium5M/resolve/main/pytorch_model.bin
162 MB
- Xet hash:
- b03fa93c7b1a6e9054cf853f852b6d83fd3646d1d68c6b879713a677c5e97d05
- Size of remote file:
- 162 MB
- SHA256:
- 323eb200cd85ebed3c9a46c71630f7855096de159c67535e57b599a94056a6f0
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