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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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