Instructions to use AIuser2222/Cyn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AIuser2222/Cyn with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("AIuser2222/Cyn", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 458 Bytes
35b487a | 1 2 3 4 5 6 7 8 9 10 11 12 13 | from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
def predict(text):
tokenizer = AutoTokenizer.from_pretrained("username/model_name")
model = AutoModelForSequenceClassification.from_pretrained("username/model_name")
inputs = tokenizer(text, return_tensors="pt")
with torch.no_grad():
logits = model(**inputs).logits
predicted_class_id = logits.argmax().item()
return predicted_class_id
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