Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use avsolatorio/doc-topic-model_eval-01_train-04 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-04 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-04")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avsolatorio/doc-topic-model_eval-01_train-04") model = AutoModelForSequenceClassification.from_pretrained("avsolatorio/doc-topic-model_eval-01_train-04", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from avsolatorio/doc-topic-model_eval-01_train-04: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/avsolatorio/doc-topic-model_eval-01_train-04/resolve/main/tokenizer.json
- Command line
-
hf download hf://avsolatorio/doc-topic-model_eval-01_train-04/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/avsolatorio/doc-topic-model_eval-01_train-04/resolve/main/tokenizer.json
8.66 MB
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