Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ATL1978/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ATL1978/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ATL1978/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ATL1978/results") model = AutoModelForSequenceClassification.from_pretrained("ATL1978/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a8fedb7565f8cfd57f7a81039d2378b4a4c722857ec33bdbb858218d9163455
- Size of remote file:
- 5.3 kB
- SHA256:
- dfcbcf94eee147b1874643b119b8c2fe94a39eff7550f110b537efc5302a6806
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