Token Classification
SpanMarker
PyTorch
TensorBoard
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec") - Notebooks
- Google Colab
- Kaggle
Upload emissions.csv with huggingface_hub
Browse files- emissions.csv +2 -0
emissions.csv
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2023-09-05T22:42:32,codecarbon,b2f8c58a-37f4-4805-89f3-d7e82d6381c9,467.6703038215637,0.020794921203108854,4.4464916915150136e-05,42.5,332.9091712057513,11.916408061981201,0.005521107753449014,0.046429418532392575,0.0015478380217998741,0.05349836430764147,Netherlands,NLD,limburg,,,Windows-10-10.0.22621-SP0,3.9.16,2.3.1,24,13th Gen Intel(R) Core(TM) i7-13700K,1,1 x NVIDIA GeForce RTX 3090,5.9363,51.3366,31.777088165283203,machine,N,1.0
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