Zero-Shot Classification
Transformers
PyTorch
English
deberta-v2
text-classification
classification
information-extraction
zero-shot
Instructions to use knowledgator/comprehend_it-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/comprehend_it-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="knowledgator/comprehend_it-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("knowledgator/comprehend_it-base") model = AutoModelForSequenceClassification.from_pretrained("knowledgator/comprehend_it-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from knowledgator/comprehend_it-base: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/knowledgator/comprehend_it-base/resolve/refs%2Fpr%2F3/added_tokens.json
- Command line
-
hf download hf://knowledgator/comprehend_it-base@refs/pr/3/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/knowledgator/comprehend_it-base/resolve/refs%2Fpr%2F3/added_tokens.json
23 Bytes
| { | |
| "[MASK]": 128000 | |
| } | |