Instructions to use sidd272/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sidd272/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sidd272/my_awesome_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sidd272/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("sidd272/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
model.safetensors
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runs/Jan26_13-46-36_633035fab503/events.out.tfevents.1706276798.633035fab503.1689.3
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