Translation
Transformers
Safetensors
English
qwen2
text-generation
Eval Results (legacy)
text-generation-inference
Instructions to use westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH") model = AutoModelForMultimodalLM.from_pretrained("westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18f5ee8c52e9d225044dd7ef664f390226accb3a4e27ac5d3e5a71e8a4eebf2a
- Size of remote file:
- 11.4 MB
- SHA256:
- fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
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