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:
- a6e15d5e4f1cfed90cd2b4ef9c339392f4c730a0e6faf49484abcbe32c6d1113
- Size of remote file:
- 438 MB
- SHA256:
- 895be98e1bb3c92e35bce44f38b732ed6469fc5452445464420b4dfa07b08ab2
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