Feature Extraction
Transformers
Safetensors
llama
binary-code-similarity
assembly
code
representation-learning
Instructions to use mhosseina96/Llama-3.2-1B-LENA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mhosseina96/Llama-3.2-1B-LENA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mhosseina96/Llama-3.2-1B-LENA")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mhosseina96/Llama-3.2-1B-LENA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
6ea620c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9d5a804c31605138540f4081718823f73ef51a180f22fb819643f19c3fa89ca2
size 2471645608
|