Instructions to use efontes/efontes-upos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efontes/efontes-upos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="efontes/efontes-upos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("efontes/efontes-upos") model = AutoModelForTokenClassification.from_pretrained("efontes/efontes-upos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from efontes/efontes-upos: direct link, hf CLI and curl.
- Browser
- Download file 4.47 GB
-
https://huggingface.co/efontes/efontes-upos/resolve/main/optimizer.pt
- Command line
-
hf download hf://efontes/efontes-upos/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/efontes/efontes-upos/resolve/main/optimizer.pt
4.47 GB
- Xet hash:
- 0d5cbf77e528a830327fe9e675ab127a0131015008a4638e99e2b56292b867d3
- Size of remote file:
- 4.47 GB
- SHA256:
- 0b92d51f48ac1f365e1b99bd991bd86d7dc85f9346679f7212200061a9dc02a3
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