Instructions to use Harshraj8721/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harshraj8721/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Harshraj8721/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Harshraj8721/results") model = AutoModelForSequenceClassification.from_pretrained("Harshraj8721/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2701fe1fafd7f4b8cea16298ac26da32b2ca8d6121a5757bf29d66fb31de17cb
- Size of remote file:
- 5.3 kB
- SHA256:
- a5501b4a5a686320e8127c11396aca73c867d0423bb771e67c58b8652f05b0bc
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