Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sibozhu/cp_intent_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sibozhu/cp_intent_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sibozhu/cp_intent_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sibozhu/cp_intent_model") model = AutoModelForSequenceClassification.from_pretrained("sibozhu/cp_intent_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sibozhu/cp_intent_model: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/sibozhu/cp_intent_model/resolve/main/training_args.bin
- Command line
-
hf download hf://sibozhu/cp_intent_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sibozhu/cp_intent_model/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- b64245f72d14b93e7be3b3f7ebec9011cf1635362bd7cd93b4da96cac4f89f51
- Size of remote file:
- 4.98 kB
- SHA256:
- 4ef45c594aaf590b2cb8a8c8ce32a53e48b1515be6b947d0a70a85b2762c85e1
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