Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use aabidk/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aabidk/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aabidk/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aabidk/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("aabidk/test-trainer") - Notebooks
- Google Colab
- Kaggle
Commit ·
c23c41a
1
Parent(s): 93acf80
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (d227c57a90b235ed61414bfca4da4198572a2f29)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:78cf6305b14398f0854de148ccfcb71d802f90f59e5fceb702847fa048e6c95c
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size 437962832
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