Instructions to use raruidol/SchemeClassifier-ENG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raruidol/SchemeClassifier-ENG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raruidol/SchemeClassifier-ENG")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raruidol/SchemeClassifier-ENG") model = AutoModelForSequenceClassification.from_pretrained("raruidol/SchemeClassifier-ENG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1920ad098efe470ae1d0a01f70e7b4b941a42e387a7c4c9a3573fc3aeb30bb4
- Size of remote file:
- 1.42 GB
- SHA256:
- 89132e63cba6a4671d80c3aaa3d4400251d946c41779f52d8da1594499e6121c
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