Instructions to use activebus/BERT-XD_Review with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use activebus/BERT-XD_Review with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertForMaskedLMSelect tokenizer = AutoTokenizer.from_pretrained("activebus/BERT-XD_Review") model = BertForMaskedLMSelect.from_pretrained("activebus/BERT-XD_Review", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from activebus/BERT-XD_Review: direct link, hf CLI and curl.
- Browser
- Download file 534 MB
-
https://huggingface.co/activebus/BERT-XD_Review/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://activebus/BERT-XD_Review/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/activebus/BERT-XD_Review/resolve/main/pytorch_model.bin
534 MB
- Xet hash:
- d1000aa00dcc84a2bd18221c9a4f2e57c039b10c74eae693603bb5869196b74a
- Size of remote file:
- 534 MB
- SHA256:
- 9cc2eda75ba7af11869ad92745b7fb2bc2c5737f1a6dbe097c3525387700d4d1
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