Instructions to use t-bank-ai/response-quality-classifier-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use t-bank-ai/response-quality-classifier-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="t-bank-ai/response-quality-classifier-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("t-bank-ai/response-quality-classifier-tiny") model = AutoModelForSequenceClassification.from_pretrained("t-bank-ai/response-quality-classifier-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from t-bank-ai/response-quality-classifier-tiny: direct link, hf CLI and curl.
- Browser
- Download file 1.74 MB
-
https://huggingface.co/t-bank-ai/response-quality-classifier-tiny/resolve/main/tokenizer.json
- Command line
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hf download hf://t-bank-ai/response-quality-classifier-tiny/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/t-bank-ai/response-quality-classifier-tiny/resolve/main/tokenizer.json
1.74 MB
File too large to display, you can check the raw version instead.