Text Classification
Transformers
TensorBoard
Safetensors
qwen3
Generated from Trainer
text-embeddings-inference
Instructions to use rd211/Qwen3-1.7B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rd211/Qwen3-1.7B-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rd211/Qwen3-1.7B-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rd211/Qwen3-1.7B-Base") model = AutoModelForSequenceClassification.from_pretrained("rd211/Qwen3-1.7B-Base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ede432c3ce88a7226aa867625b620676f04912d9ab82ee7f04772abf2c183d52
- Size of remote file:
- 5.37 kB
- SHA256:
- 4ab85c1ab5192c4a284547ebe9fe52f89f4e9cfc17d88d5ebad5695d7a56b4c6
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