Token Classification
Transformers
Safetensors
Ancient Greek (to 1453)
char_bert_joint
ancient-greek
classical-philology
character-level
masked-diffusion
dependency-parsing
pos-tagging
lemmatization
custom_code
Instructions to use Ericu950/Stoicheia-tagger-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ericu950/Stoicheia-tagger-parser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ericu950/Stoicheia-tagger-parser", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ericu950/Stoicheia-tagger-parser", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a6dce33933a6b0eea9ccf1eeedc45c9880920f62a3f32cd2a5dfc07d22d9fee
- Size of remote file:
- 11.3 MB
- SHA256:
- a25e9f92cddd24bf65b6f13a3f2d10771f073861a63303d46e0b14f9f604c8d4
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