Instructions to use PleIAs/Segmentext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PleIAs/Segmentext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PleIAs/Segmentext")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PleIAs/Segmentext") model = AutoModelForTokenClassification.from_pretrained("PleIAs/Segmentext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from PleIAs/Segmentext: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/PleIAs/Segmentext/resolve/main/model.safetensors
- Command line
-
hf download hf://PleIAs/Segmentext/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/PleIAs/Segmentext/resolve/main/model.safetensors
1.11 GB
- Xet hash:
- eb3636be4695a05c24fcf8bcf37b35b8a7f2f4ced474f88015835a9ebdbf918c
- Size of remote file:
- 1.11 GB
- SHA256:
- 2f0c0705f7bbd9a07f4aa93f78171f0f1d2f35e682c6577d23acb977d1f7da25
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