Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use hohorong/tool_choose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hohorong/tool_choose with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hohorong/tool_choose")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hohorong/tool_choose") model = AutoModelForSequenceClassification.from_pretrained("hohorong/tool_choose", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51793eca00fe8231d2ef2659b0ca1ee3e8468e2e86a6f3df3b26e07e7c1863e6
- Size of remote file:
- 712 MB
- SHA256:
- e12f4cdf62adb6667d037cb030693a2b80be6727fc0a259127867501e8d6b114
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