Instructions to use khantanveera/TK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khantanveera/TK with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="khantanveera/TK")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("khantanveera/TK") model = AutoModelForSequenceClassification.from_pretrained("khantanveera/TK", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d8c51275d2e54cc554c3a1afb58519df56abe5dc85ab96ca3f6081441abd9bb
- Size of remote file:
- 268 MB
- SHA256:
- e2485181328039a4c137d25b48754f984eab468efa399dd0424f63f1a98450e4
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