Instructions to use vedanta2003/final_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vedanta2003/final_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vedanta2003/final_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vedanta2003/final_model") model = AutoModelForSequenceClassification.from_pretrained("vedanta2003/final_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 40 Bytes
3eb6adc | 1 | {"do_lower_case": false, "max_len": 512} |