Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use vdivya/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vdivya/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vdivya/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vdivya/dummy-model") model = AutoModelForSequenceClassification.from_pretrained("vdivya/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
245d9f8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e9943804b3a1db4384a326d281399f1e8a58cdde6d641d851e5d3f864ea313fe
size 438223128
|