Instructions to use casehold/bert-double with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casehold/bert-double with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="casehold/bert-double")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("casehold/bert-double") model = AutoModelForPreTraining.from_pretrained("casehold/bert-double", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from casehold/bert-double: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/casehold/bert-double/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://casehold/bert-double/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/casehold/bert-double/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- e68c81b98950b5620ee3032379e8c6547223d85a3a59732194cdbe8b2ad31c9a
- Size of remote file:
- 441 MB
- SHA256:
- 8a6e42fd37ae7eca9c1e94b68dca73249122b0277aa31df768dedcf5208bf2e3
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