Instructions to use Nofing/MECI-longformer-base-4096-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nofing/MECI-longformer-base-4096-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nofing/MECI-longformer-base-4096-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nofing/MECI-longformer-base-4096-classifier") model = AutoModelForSequenceClassification.from_pretrained("Nofing/MECI-longformer-base-4096-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1491e2c2044ee7b579dd6ab20884938daf52cdeffcc15e4be749e7db875262d
- Size of remote file:
- 5.84 kB
- SHA256:
- 9bd69f842c76443be1e3dd4f98ec938a33a29e7c641efbcda0251e6b91983796
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