Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ChengZ2003/my_awesome_model_classification_w_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChengZ2003/my_awesome_model_classification_w_adapter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChengZ2003/my_awesome_model_classification_w_adapter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ChengZ2003/my_awesome_model_classification_w_adapter") model = AutoModelForSequenceClassification.from_pretrained("ChengZ2003/my_awesome_model_classification_w_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
cf67023 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b3e556922f4b61e0de9440514018198f812463d71d66f0eaf0adb6eee76b968a
size 4600
|