Instructions to use Siyam/s61tiny-NLP-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siyam/s61tiny-NLP-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Siyam/s61tiny-NLP-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Siyam/s61tiny-NLP-model") model = AutoModelForSequenceClassification.from_pretrained("Siyam/s61tiny-NLP-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb8517c122f182b35a2f2ca96335c28bf7920bd1151b60cdba645122b47f5a56
- Size of remote file:
- 4.86 kB
- SHA256:
- 534398c4a3106ceec712ca296858bc07ba24a692c0c599752033af054287240b
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