Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use fffffly/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fffffly/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fffffly/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fffffly/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("fffffly/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 469d1aa680fbb8a17a5ee1b507a082ab56ca90737792de95ddd46b1ebbc094eb
- Size of remote file:
- 3.9 kB
- SHA256:
- 60a0bf21e1cba01a9c2a68ab5010d1e17ec8559c0628fbf806c0a5b3745dab2e
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