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 pytorch_model.bin from giacomomiolo/scibert_reupload: direct link, hf CLI and curl.
- Browser
- Download file 442 MB
-
https://huggingface.co/giacomomiolo/scibert_reupload/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://giacomomiolo/scibert_reupload/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/giacomomiolo/scibert_reupload/resolve/main/pytorch_model.bin
442 MB
- Xet hash:
- dd66d5394d7f3b48163e00b83b88627174dcceee0060127abadef82263383d12
- Size of remote file:
- 442 MB
- SHA256:
- 182b22ed8894e26b9cb1b0683ddd687e539685816b2d20397c20dcc7df980827
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.