Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use rcade/testing_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rcade/testing_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rcade/testing_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rcade/testing_model") model = AutoModelForSequenceClassification.from_pretrained("rcade/testing_model") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
7b2fc04 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8373ed18c9214156281ab3d0a7bb5265233a2b8677ab73d883224dfe5d428b63
size 4728
|