Instructions to use yanezh/twiiter_try14_fold0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yanezh/twiiter_try14_fold0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yanezh/twiiter_try14_fold0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yanezh/twiiter_try14_fold0") model = AutoModelForSequenceClassification.from_pretrained("yanezh/twiiter_try14_fold0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89a8427d4ca05404148d6b5b303b8e4c8c40830c47c965aa834c9d8015ee4ead
- Size of remote file:
- 3.58 kB
- SHA256:
- 16616573bf45870cf351c99d569d87ab9f4c61f85310f50bb90c74ab08528ed6
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