Instructions to use ntrnghia/stsb_vn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ntrnghia/stsb_vn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ntrnghia/stsb_vn")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ntrnghia/stsb_vn") model = AutoModelForSequenceClassification.from_pretrained("ntrnghia/stsb_vn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from ntrnghia/stsb_vn: direct link, hf CLI and curl.
- Browser
- Download file 711 MB
-
https://huggingface.co/ntrnghia/stsb_vn/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://ntrnghia/stsb_vn/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/ntrnghia/stsb_vn/resolve/main/flax_model.msgpack
711 MB
- Xet hash:
- 7ce81ef24e64ea55966049af179f4f037ea1f27dfd3864d004506bfbbee1c9b7
- Size of remote file:
- 711 MB
- SHA256:
- 16b395ddc3e9acbcc011f111d3552a7f04e35538a462b914e763b09129805d3d
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