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:
- 59f1534b1ad4aecb263461791eff0739afc7e6b569441258a84a4a2f3ee85e56
- Size of remote file:
- 4.66 kB
- SHA256:
- d04576e7f96ba9611321fd3a39059598ce0c30ca3de89475d42c36a1b1ae7b29
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