Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use avsolatorio/doc-topic-model_eval-02_train-00 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-00 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-00")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avsolatorio/doc-topic-model_eval-02_train-00") model = AutoModelForSequenceClassification.from_pretrained("avsolatorio/doc-topic-model_eval-02_train-00", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45017037fbdcbe37d191dceec9114e4364cfa6587fbbcfae6604b3fbe427b053
- Size of remote file:
- 5.24 kB
- SHA256:
- f008fdce8bd4f2b7a0e7261cf6853f90767e4da6deb88bd862fdc2febc04ae7f
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