Question Answering
Transformers
Safetensors
English
llama
LLM2Vec
encoder
LLM
classification
NER
text-generation-inference
Instructions to use knowledgator/Sheared-LLaMA-encoder-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/Sheared-LLaMA-encoder-1.3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="knowledgator/Sheared-LLaMA-encoder-1.3B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("knowledgator/Sheared-LLaMA-encoder-1.3B") model = AutoModel.from_pretrained("knowledgator/Sheared-LLaMA-encoder-1.3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec9d487cc3bb2f29c3eea9e671a97f9ee3612162b784abc2d17bcd15ab589812
- Size of remote file:
- 5.05 kB
- SHA256:
- b72e646bb40995a7e3ddeabf4857d1aebbd0ce8672eb70c45afd1146be1ff620
路
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