Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/trusting-pig-816 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/trusting-pig-816 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/trusting-pig-816")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/trusting-pig-816") model = AutoModelForSequenceClassification.from_pretrained("ElMad/trusting-pig-816", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dec0fa6d5af683ac2ffaca2e718110cf701f72b931154e94ae283b8391a72592
- Size of remote file:
- 5.5 kB
- SHA256:
- 688c87dc9d4df3037511873b772c121f5b1f22d678b6be0bbd1b4deb95f12d53
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