Instructions to use giacomomiolo/scibert_reupload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giacomomiolo/scibert_reupload with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("giacomomiolo/scibert_reupload") model = AutoModelForPreTraining.from_pretrained("giacomomiolo/scibert_reupload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from giacomomiolo/scibert_reupload: direct link, hf CLI and curl.
- Browser
- Download file 442 MB
-
https://huggingface.co/giacomomiolo/scibert_reupload/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://giacomomiolo/scibert_reupload/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/giacomomiolo/scibert_reupload/resolve/main/flax_model.msgpack
442 MB
- Xet hash:
- 2201dec2a3fc8ba79d9123ac68e89eaf69a4aa390bca8f1e7d4776ef91e18ad4
- Size of remote file:
- 442 MB
- SHA256:
- 9261c59db47bf1624e22a20714912f0cbad9fe73907e2b788c967df044057d8d
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