Instructions to use Srish117/First_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Srish117/First_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Srish117/First_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Srish117/First_model") model = AutoModelForSequenceClassification.from_pretrained("Srish117/First_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 221c6fa78afc6277a8e27d502a7f9e3a2127a6630f1252ee1596fe7548912964
- Size of remote file:
- 4.41 kB
- SHA256:
- 3460ef336e56024d0f9abf41533dd8ded4dd138853cde09f81970d85c3b36657
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