Instructions to use EndLessTime/qwen1.8b_finetuned_sci_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/qwen1.8b_finetuned_sci_gen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/qwen1.8b_finetuned_sci_gen")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/qwen1.8b_finetuned_sci_gen") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/qwen1.8b_finetuned_sci_gen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0676b5f34c2dc072565ee34c899805781748e71bed2d46135a2e0519d898bf11
- Size of remote file:
- 5.3 kB
- SHA256:
- 5a5c194726b2066c97895c2ba02881c8d4b31db6b6f0c2ef0d84ccaaad2ffa23
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.