Text Classification
Transformers
TensorBoard
Safetensors
bert
LMH
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Instructions to use 2todeux/1008model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2todeux/1008model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="2todeux/1008model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("2todeux/1008model") model = AutoModelForSequenceClassification.from_pretrained("2todeux/1008model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ad27934a2c13fdabc71faeda0c0b79021f89258afa0dcb79c901bc14240f666
- Size of remote file:
- 5.18 kB
- SHA256:
- d5a72c2e8fd233d9a58259bfc8e21071b987f9ce44392788f3e5274829488959
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