Instructions to use teohyc/testing_mode_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teohyc/testing_mode_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="teohyc/testing_mode_1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("teohyc/testing_mode_1") model = AutoModel.from_pretrained("teohyc/testing_mode_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("teohyc/testing_mode_1")
model = AutoModel.from_pretrained("teohyc/testing_mode_1", device_map="auto")Quick Links
- Model Card for Model ID
- Model Details
- Uses
- Bias, Risks, and Limitations
- How to Get Started with the Model
- Training Details
- Evaluation
- Model Examination [optional]
- Environmental Impact
- Technical Specifications [optional]
- Citation [optional]
- Glossary [optional]
- More Information [optional]
- Model Card Authors [optional]
- Model Card Contact
- Downloads last month
- 3
Paper for teohyc/testing_mode_1
Paper • 1910.09700 • Published • 60
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="teohyc/testing_mode_1")