Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
wikipedia
wikidata
text-embeddings-inference
Instructions to use derenrich/psychiq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use derenrich/psychiq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="derenrich/psychiq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("derenrich/psychiq") model = AutoModelForSequenceClassification.from_pretrained("derenrich/psychiq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e410da9eda692032e0351d87174bf001401bbca846a6b13e996b1577fe89499
- Size of remote file:
- 3.44 kB
- SHA256:
- 591cc8efe921baaef4b2d9ec9ab555df1ae436961834aeb9abc750499273b330
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