Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use jaewan3182/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaewan3182/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jaewan3182/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jaewan3182/results") model = AutoModelForSequenceClassification.from_pretrained("jaewan3182/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d79f8a8eba2afb5b44c0939ba0889f88dcc8db14f298d5cfc9e3203c669163b5
- Size of remote file:
- 5.3 kB
- SHA256:
- 5c8a7b50d419304eb2674f0f84a9221e24e4bea3ce43bf7fbd2fea916a85a226
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