Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ankushjamthikar/aj_first_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ankushjamthikar/aj_first_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ankushjamthikar/aj_first_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ankushjamthikar/aj_first_model") model = AutoModelForSequenceClassification.from_pretrained("ankushjamthikar/aj_first_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccbc819412e45f653c2b914e326d594cae5a0c6bf7cfa10faf337b49d30cab26
- Size of remote file:
- 4.03 kB
- SHA256:
- d8df8d3236f9f41f4fd1be31b363bd4801ef3979c3a7964e2f35025edf71e24f
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