Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ABCBABC/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ABCBABC/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ABCBABC/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ABCBABC/results") model = AutoModelForSequenceClassification.from_pretrained("ABCBABC/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc6a75e9165efdf2d647acaf340558e57de04e4a5e14011b7a1b419ec2cf3f9d
- Size of remote file:
- 5.78 kB
- SHA256:
- 90ec7d84ecd50d15d67f5fff31eea4042bb6ed1417ce6ec6fd89fb313c84d29c
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