Instructions to use lyf07/Qwen3-8B-WALAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyf07/Qwen3-8B-WALAR 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="lyf07/Qwen3-8B-WALAR")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("lyf07/Qwen3-8B-WALAR") model = AutoModelForCausalLM.from_pretrained("lyf07/Qwen3-8B-WALAR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add library_name and pipeline_tag to metadata
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team.
This pull request improves the metadata for this model:
- Adds
pipeline_tag: translationto ensure the model is correctly categorized and discoverable for translation tasks. - Adds
library_name: transformersto identify the model's compatibility and enable the "Use in Transformers" button. - Maintains all existing content and links to the paper and code.
Thank you so much for your help! Really appreciate your time and effort for it!
lyf07 changed pull request status to merged