Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use avsolatorio/doc-topic-model_eval-01_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-01_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-01_train-00")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avsolatorio/doc-topic-model_eval-01_train-00") model = AutoModelForSequenceClassification.from_pretrained("avsolatorio/doc-topic-model_eval-01_train-00", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8be8bde94f6b1a865a98fb0ee445c60a74c13b66bc096fd2135c51d6babd0eaa
- Size of remote file:
- 5.24 kB
- SHA256:
- 793ce0ea9b102975f2c13ebb162cd3b8fa0b532090e49ab65ff0a4403515a81b
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