Feature Extraction
Transformers
Safetensors
English
slip
text-generation
time-series
sensor
multimodal
contrastive-learning
llama
custom_code
Instructions to use leochen085/SLIP-Llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leochen085/SLIP-Llama with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leochen085/SLIP-Llama", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("leochen085/SLIP-Llama", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
d5b7daa | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
size 17209920
|