Instructions to use kabir5297/deberta3base_1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabir5297/deberta3base_1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kabir5297/deberta3base_1024")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kabir5297/deberta3base_1024") model = AutoModelForTokenClassification.from_pretrained("kabir5297/deberta3base_1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from kabir5297/deberta3base_1024: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/kabir5297/deberta3base_1024/resolve/main/added_tokens.json
- Command line
-
hf download hf://kabir5297/deberta3base_1024/added_tokens.json
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curl -L -o added_tokens.json https://huggingface.co/kabir5297/deberta3base_1024/resolve/main/added_tokens.json
23 Bytes
| { | |
| "[MASK]": 128000 | |
| } | |