Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use avsolatorio/doc-topic-model_eval-01_train-03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avsolatorio/doc-topic-model_eval-01_train-03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avsolatorio/doc-topic-model_eval-01_train-03")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avsolatorio/doc-topic-model_eval-01_train-03") model = AutoModelForSequenceClassification.from_pretrained("avsolatorio/doc-topic-model_eval-01_train-03") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0619c0fd50db4a9515cd80e3b30681ea337d6b85e75abdce98546e896795f0a
- Size of remote file:
- 5.24 kB
- SHA256:
- 92a7218861ec09a0e92788ad3a51d126427f36c75885ec6d7a79a4066d69fc70
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