Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use avsolatorio/doc-topic-model_eval-01_train-02 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-02 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-02")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avsolatorio/doc-topic-model_eval-01_train-02") model = AutoModelForSequenceClassification.from_pretrained("avsolatorio/doc-topic-model_eval-01_train-02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 959c8f770423504bf56ca346d59cc1b835cd504e9968d9720b7c45fb8cb49648
- Size of remote file:
- 5.24 kB
- SHA256:
- 5df4bad383be4f31ae9b5d7ea60def8639ac0078e2608f2933451f737a10abcc
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