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:
- ccb958dda4e25c0024be8b3ba4ff116977c7e68cb29c69833aeb643d696953a3
- Size of remote file:
- 4.6 kB
- SHA256:
- afca7c81fccd99b87d68ada38b01a9375dd90212973d9b19b422fadfdf33a007
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