Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Huyle2501/classifier-assignment01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Huyle2501/classifier-assignment01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Huyle2501/classifier-assignment01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Huyle2501/classifier-assignment01") model = AutoModelForSequenceClassification.from_pretrained("Huyle2501/classifier-assignment01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1c7b28ec2acdfb23aefc7aa2c26ab4ff33ecce77a1e95f09e416e72c392e96d
- Size of remote file:
- 268 MB
- SHA256:
- 5e13d3b272a311a2fa12ca0601c401bd9d38e22b9597684adbec4c51ac786579
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