Instructions to use KumaTea/twitter-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KumaTea/twitter-int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KumaTea/twitter-int8", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KumaTea/twitter-int8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("KumaTea/twitter-int8", trust_remote_code=True, device_map="auto")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KumaTea/twitter-int8", trust_remote_code=True)