Text Classification
PyTorch
Transformers
English
Transformers
bert
nlp
argilla
text-embeddings-inference
Instructions to use plaguss/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use plaguss/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="plaguss/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("plaguss/test_model") model = AutoModelForSequenceClassification.from_pretrained("plaguss/test_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf1aa1ed86793f21d96244f241b0eed36062f19e5d3e70c0f03686b207a836de
- Size of remote file:
- 433 MB
- SHA256:
- d12d5f64cd7968bf7fb7fd12087cdd07a8a9a5826a12e40eaf1d6a50559d7d9f
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