Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use avsolatorio/doc-topic-model_eval-02_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-02_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-02_train-01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avsolatorio/doc-topic-model_eval-02_train-01") model = AutoModelForSequenceClassification.from_pretrained("avsolatorio/doc-topic-model_eval-02_train-01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf140fb42400d54c238c59d0f00326778d4734c1fee0a86518f0b349121c907f
- Size of remote file:
- 5.24 kB
- SHA256:
- aa50ce3a23590aee44d37442d603f011c2a60f937074d617cfe59a6edc652a20
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