Instructions to use giayphuyen/blhs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giayphuyen/blhs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="giayphuyen/blhs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("giayphuyen/blhs") model = AutoModelForMaskedLM.from_pretrained("giayphuyen/blhs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from giayphuyen/blhs: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/giayphuyen/blhs/resolve/main/training_args.bin
- Command line
-
hf download hf://giayphuyen/blhs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/giayphuyen/blhs/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 92e0db09ca23df0f37a965ca81f49bf8e49cf3701f183cb470e06559c68a06f9
- Size of remote file:
- 5.18 kB
- SHA256:
- 1d1e267cd6c9e9ce10a182ce0bb6a85df1839b07507c7c3eb59cd671ad96bae8
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