Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
intent-detection
routing
nlp
text-embeddings-inference
Instructions to use Dc-4nderson/myvillage_intent_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dc-4nderson/myvillage_intent_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dc-4nderson/myvillage_intent_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dc-4nderson/myvillage_intent_detection") model = AutoModelForSequenceClassification.from_pretrained("Dc-4nderson/myvillage_intent_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Dc-4nderson/myvillage_intent_detection: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/Dc-4nderson/myvillage_intent_detection/resolve/main/training_args.bin
- Command line
-
hf download hf://Dc-4nderson/myvillage_intent_detection/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Dc-4nderson/myvillage_intent_detection/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- f92f7323cfef1b5f4c901d56c03bad18d425255e66a6d95d632e6d6639f1b8ac
- Size of remote file:
- 5.84 kB
- SHA256:
- afe6ed26b04b3d95fb99e040b0beaf5709a19a56c2d4f23a20e763a33c181270
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