Instructions to use sinancavdar/Bertwithmaxpoolhead with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinancavdar/Bertwithmaxpoolhead with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sinancavdar/Bertwithmaxpoolhead")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sinancavdar/Bertwithmaxpoolhead") model = AutoModel.from_pretrained("sinancavdar/Bertwithmaxpoolhead", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("sinancavdar/Bertwithmaxpoolhead")
model = AutoModel.from_pretrained("sinancavdar/Bertwithmaxpoolhead", device_map="auto")Quick Links
No model card
- Downloads last month
- 5
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sinancavdar/Bertwithmaxpoolhead")