Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use alexamiredjibi/trajectory-classifier2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexamiredjibi/trajectory-classifier2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexamiredjibi/trajectory-classifier2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexamiredjibi/trajectory-classifier2") model = AutoModelForSequenceClassification.from_pretrained("alexamiredjibi/trajectory-classifier2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:5af5caeb6a1bfa56f584690079ac3a4b19e59381c80ca0b6e03f322569b407a1
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size 267832564
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