Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use orcalewang/samwang_hw001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orcalewang/samwang_hw001 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orcalewang/samwang_hw001")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orcalewang/samwang_hw001") model = AutoModelForSequenceClassification.from_pretrained("orcalewang/samwang_hw001") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7801387771a8953f2486130939664d3c0c45345b92895f995692443620d60d40
- Size of remote file:
- 4.79 kB
- SHA256:
- 27ce900a1fd1b955634d9e1b83c1ecbac6717e6ae83e909ef2a227731f3ab4ea
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