Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Instructions to use yeonw/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeonw/model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yeonw/model_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yeonw/model_output") model = AutoModelForSequenceClassification.from_pretrained("yeonw/model_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4e29d3c86cacfc6d4abe97ffab12a8540bff23cc9b7fe9b9030e21141905e97
- Size of remote file:
- 5.18 kB
- SHA256:
- a0fa17dcb91a830125ecc5992b38443215b1dde524e1ecc69e0a57d3f97ae072
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