Instructions to use tesemnikov-av/NER-RUBERT-Per-Loc-Org with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tesemnikov-av/NER-RUBERT-Per-Loc-Org with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tesemnikov-av/NER-RUBERT-Per-Loc-Org")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tesemnikov-av/NER-RUBERT-Per-Loc-Org") model = AutoModelForTokenClassification.from_pretrained("tesemnikov-av/NER-RUBERT-Per-Loc-Org", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from tesemnikov-av/NER-RUBERT-Per-Loc-Org: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/refs%2Fpr%2F1/scheduler.pt
- Command line
-
hf download hf://tesemnikov-av/NER-RUBERT-Per-Loc-Org@refs/pr/1/scheduler.pt
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curl -L -o scheduler.pt https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/refs%2Fpr%2F1/scheduler.pt
623 Bytes
- Xet hash:
- cca281112fb1c9ef4e58d9c37de354903deb97affa8486901d26f791ee9f9b31
- Size of remote file:
- 623 Bytes
- SHA256:
- f4eb4dd73b08015c7fe4ba6d51e9fc55702a1088ad19f6e6b228c9eaaa70ee1d
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