Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use V12X-ksr/FOCALtrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use V12X-ksr/FOCALtrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="V12X-ksr/FOCALtrain")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("V12X-ksr/FOCALtrain") model = AutoModelForSequenceClassification.from_pretrained("V12X-ksr/FOCALtrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d877568266ce29c8d21f99ec07be52ee3bbbb6d156352f1d542c5a3b33eddf1e
- Size of remote file:
- 4.6 kB
- SHA256:
- 7045b53b7c81256569d47507478659ca25af1d6428998e117a182d565ead83e9
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