Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use sms112/euk_roberta_large_essentiality_Network with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sms112/euk_roberta_large_essentiality_Network with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sms112/euk_roberta_large_essentiality_Network")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sms112/euk_roberta_large_essentiality_Network") model = AutoModelForSequenceClassification.from_pretrained("sms112/euk_roberta_large_essentiality_Network") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e0aa79152853818f9b40b6584be368d0316378355a40e4621ddff9e9d10b72d
- Size of remote file:
- 5.27 kB
- SHA256:
- ec353402dea07c665a4e08d1de931ad12ccbdd2da2ac8a53b6d45093b94f7fb4
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