Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Meylai/ai-model-try-out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Meylai/ai-model-try-out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Meylai/ai-model-try-out")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Meylai/ai-model-try-out") model = AutoModelForSequenceClassification.from_pretrained("Meylai/ai-model-try-out", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89c76ee4e3d7f48f3ad9ef9416c4007994f5dd622d917d789361aae3e87b99ce
- Size of remote file:
- 5.37 kB
- SHA256:
- 2aa9506f6ec0329e559b377b0285a85cb2adffa392479cd4cd66196ae235f427
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