Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Instructions to use kyogi0321/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyogi0321/model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kyogi0321/model_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kyogi0321/model_output") model = AutoModelForSequenceClassification.from_pretrained("kyogi0321/model_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d2ba4031a91e8fc2139eaa2852c3a20f0d0b09bc4ebd19cc2c062e4931c1104
- Size of remote file:
- 5.18 kB
- SHA256:
- ec7a4a4ac51bc073ba64e77f00a04a22757f4879e58ad698411a1a7094952dbb
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