Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ehottl/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ehottl/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ehottl/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ehottl/results") model = AutoModelForSequenceClassification.from_pretrained("ehottl/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41375bf894aa55bc9b4e649f166a08a83d264f9917c95ddba1746a3f8ea6cf17
- Size of remote file:
- 443 MB
- SHA256:
- b24e0d1fc94555e8cecb7f7d699a85db137e8a0a4c1ad749ad5cf391bccdddf0
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