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:
- 03ec0718bc5f03823b74e39668645c3a93ce2121fec0adc038814f7c7e3da059
- Size of remote file:
- 433 MB
- SHA256:
- b637674a146550f8f563d2c275708d35ba071fd10b7aa9ca8238ae125e788cea
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