Text Classification
Transformers
TensorBoard
Safetensors
bert
LMH
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Instructions to use Jipumpkin/1008model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jipumpkin/1008model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jipumpkin/1008model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jipumpkin/1008model") model = AutoModelForSequenceClassification.from_pretrained("Jipumpkin/1008model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ce8e6350096ae5b70c865db3d54bf889866cf41df433a230cd59cb1b511f198
- Size of remote file:
- 5.18 kB
- SHA256:
- 3b1834e23768958a803dc130292d612e9e3ba88ee506652afec601a9561fa9d9
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