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 training_args.bin from activebus/BERT-XD_Review: direct link, hf CLI and curl.
- Browser
- Download file 1.38 kB
-
https://huggingface.co/activebus/BERT-XD_Review/resolve/main/training_args.bin
- Command line
-
hf download hf://activebus/BERT-XD_Review/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/activebus/BERT-XD_Review/resolve/main/training_args.bin
1.38 kB
- Xet hash:
- e81f22b548fe0b484234063ced3a2ea290e683ee5500bfa1a1b2ef3d4f7c6f50
- Size of remote file:
- 1.38 kB
- SHA256:
- db7f05be75d2c92fb6b53cfd51f3925508369193c4dd69e62150eacec512b2d4
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