Instructions to use WRX020510/CustomModel_twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WRX020510/CustomModel_twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WRX020510/CustomModel_twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WRX020510/CustomModel_twitter") model = AutoModelForSequenceClassification.from_pretrained("WRX020510/CustomModel_twitter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62d2f4cd4f706b20d1aaacfe6f99015de96fbfecf8bf1c5d14ce25b2371dcbe7
- Size of remote file:
- 499 MB
- SHA256:
- 5d6839735d929c789cf2b09a789c207e6e2729ea7e38e36d444f0a4dbfe9e793
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