Instructions to use closji/wiki103_bert_small_k1000_e27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use closji/wiki103_bert_small_k1000_e27 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, CoLwithBert tokenizer = AutoTokenizer.from_pretrained("closji/wiki103_bert_small_k1000_e27") model = CoLwithBert.from_pretrained("closji/wiki103_bert_small_k1000_e27", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from closji/wiki103_bert_small_k1000_e27: direct link, hf CLI and curl.
- Browser
- Download file 1.9 kB
-
https://huggingface.co/closji/wiki103_bert_small_k1000_e27/resolve/main/training_args.bin
- Command line
-
hf download hf://closji/wiki103_bert_small_k1000_e27/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/closji/wiki103_bert_small_k1000_e27/resolve/main/training_args.bin
1.9 kB
- Xet hash:
- 0b1073179867feeda606eb386226594def06eaa45b8bbea4120faac656a581c2
- Size of remote file:
- 1.9 kB
- SHA256:
- d4484a7a8cc68266a3ba6277a94b569999eea827a5db745f244779e8ef43b2f0
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