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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI")# pip install -U transformers accelerate # 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
Download tokenizer.json from avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI: direct link, hf CLI and curl.
- Browser
- Download file 3.63 MB
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https://huggingface.co/avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI/resolve/main/tokenizer.json
- Command line
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hf download hf://avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI/resolve/main/tokenizer.json
3.63 MB
File too large to display, you can check the raw version instead.