Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AFZALS/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AFZALS/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AFZALS/output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AFZALS/output") model = AutoModelForSequenceClassification.from_pretrained("AFZALS/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2f8f81fe6dc02c4a9d2fbef0234ee074343aae4f1166743828486cae1a322c3
- Size of remote file:
- 268 MB
- SHA256:
- 12983067344352249b56afb2135300fe719f6161431cb478572d28d4e8dab7f1
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