Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Milind1982/autotrain-assignment5-mj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milind1982/autotrain-assignment5-mj with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Milind1982/autotrain-assignment5-mj")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Milind1982/autotrain-assignment5-mj") model = AutoModelForSequenceClassification.from_pretrained("Milind1982/autotrain-assignment5-mj") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9226e7c6d4b415905c992633357e23f5d80643f2a9fd945f6739cd723bab365e
- Size of remote file:
- 5.37 kB
- SHA256:
- 6f995644ce76222f5100e1b376df038665ae5b0be62f71c37e9c0b1ec534eefc
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