Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
wikipedia
wikidata
text-embeddings-inference
Instructions to use derenrich/psychiq2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use derenrich/psychiq2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="derenrich/psychiq2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("derenrich/psychiq2") model = AutoModelForSequenceClassification.from_pretrained("derenrich/psychiq2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e545ce77226cd65a38c5457e97f80f15e45feaa75d7d6d32fa0bd74f97351b61
- Size of remote file:
- 3.45 kB
- SHA256:
- bddfbf007a4081059e2ee8a4c3f7a65dfdc85d603f544bec0a72a3929f44e5e1
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