Translation
Transformers
Safetensors
Chinese
English
qwen3
text-generation
zh-en
en-zh
sft
cpo
grpo
text-generation-inference
Instructions to use Ismantic/Interpreter-Qwen3-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ismantic/Interpreter-Qwen3-1.7B 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="Ismantic/Interpreter-Qwen3-1.7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Ismantic/Interpreter-Qwen3-1.7B") model = AutoModelForCausalLM.from_pretrained("Ismantic/Interpreter-Qwen3-1.7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fca80bae3cdb14444353722e4205a5d936ee4b438e9714b11387f4a76db9d50f
- Size of remote file:
- 3.44 GB
- SHA256:
- 002140f270a46b484d7ff2079b6256b055c422b83e141e452b4248ee31c95957
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