Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use avsolatorio/doc-topic-model_eval-04_train-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avsolatorio/doc-topic-model_eval-04_train-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avsolatorio/doc-topic-model_eval-04_train-01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avsolatorio/doc-topic-model_eval-04_train-01") model = AutoModelForSequenceClassification.from_pretrained("avsolatorio/doc-topic-model_eval-04_train-01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16d4d60729e45c9778ed8b6cc267f5f4442e05123e9f254d8d2d23b9b368b90e
- Size of remote file:
- 5.24 kB
- SHA256:
- 28783e9074589ab19ea367db0fb0749d4c3f9c1b1056bbf5932171cf537029bb
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