Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Sandrro/text_to_function_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandrro/text_to_function_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sandrro/text_to_function_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sandrro/text_to_function_v2") model = AutoModelForSequenceClassification.from_pretrained("Sandrro/text_to_function_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 058ce5fdccc96e7cdd7c7960d696955e6b06649afac2d14169ed63a43866d7c5
- Size of remote file:
- 3.64 kB
- SHA256:
- 160676665998a481154c580cabcd2c300a69674f3d56100803e637ace7964e4c
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