Instructions to use coggpt/interval_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coggpt/interval_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coggpt/interval_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coggpt/interval_model") model = AutoModelForSequenceClassification.from_pretrained("coggpt/interval_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eff5ea6ecb0efe0125c26ece04597ecebede90adb71acd6a95cbd4e7ecb72457
- Size of remote file:
- 268 MB
- SHA256:
- 3b0a5311fa550726566f9c1c4f5569d5745bbb36928324361ec3ca2158b1035b
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