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
File size: 129 Bytes
03a6e8f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:92a7218861ec09a0e92788ad3a51d126427f36c75885ec6d7a79a4066d69fc70
size 5240
|