Instructions to use SOTAagi2030/PocketIntent-Pilot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SOTAagi2030/PocketIntent-Pilot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SOTAagi2030/PocketIntent-Pilot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SOTAagi2030/PocketIntent-Pilot") model = AutoModelForSequenceClassification.from_pretrained("SOTAagi2030/PocketIntent-Pilot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 174 Bytes
d6ee3fa | 1 2 | {"version":"1.0","truncation":{"max_length":96},"model":{"type":"WordPiece","unk_token":"[UNK]","vocab":{"[UNK]":0,"billing":1,"network":2,"setup":3,"account":4,"pilot":5}}}
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