Question Answering
Transformers
Safetensors
English
German
llama
text-generation
German
RAG
Retrieval
Question-Answering
Summarization
Reasoning
text-generation-inference
Instructions to use avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI") model = AutoModelForCausalLM.from_pretrained("avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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