Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use alexamiredjibi/traj-classifier-recency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexamiredjibi/traj-classifier-recency with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexamiredjibi/traj-classifier-recency")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexamiredjibi/traj-classifier-recency") model = AutoModelForSequenceClassification.from_pretrained("alexamiredjibi/traj-classifier-recency") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:46d5108cf85c49539412d0a851221d4e2ab3b5f0580488e8b2abd251a9524597
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size 267832560
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