Instructions to use mp6kv/main_intent_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mp6kv/main_intent_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mp6kv/main_intent_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mp6kv/main_intent_test") model = AutoModelForSequenceClassification.from_pretrained("mp6kv/main_intent_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ee7b89b3748fccfe8c69d091119f6a2c565316da0a4686e1442a020ce846a00
- Size of remote file:
- 2.99 kB
- SHA256:
- e391d78502f5fc530537aeedb2500513142005dfdc7c41f21e8fdf76fc51d7df
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