Instructions to use warrior1127/hate_xlnet_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use warrior1127/hate_xlnet_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="warrior1127/hate_xlnet_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("warrior1127/hate_xlnet_model") model = AutoModelForSequenceClassification.from_pretrained("warrior1127/hate_xlnet_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
35e2a2e
1
Parent(s): 1734000
Training in progress, epoch 5
Browse files
pytorch_model.bin
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runs/Feb13_18-27-36_sailvtcs.cs.vt.edu/events.out.tfevents.1676330865.sailvtcs.cs.vt.edu.1133632.0
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