Instructions to use transformersbook/xlm-roberta-base-finetuned-panx-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transformersbook/xlm-roberta-base-finetuned-panx-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="transformersbook/xlm-roberta-base-finetuned-panx-it")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-it") model = AutoModelForTokenClassification.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download emissions.csv from transformersbook/xlm-roberta-base-finetuned-panx-it: direct link, hf CLI and curl.
- Browser
- Download file 318 Bytes
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https://huggingface.co/transformersbook/xlm-roberta-base-finetuned-panx-it/resolve/main/emissions.csv
- Command line
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hf download hf://transformersbook/xlm-roberta-base-finetuned-panx-it/emissions.csv
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curl -L -o emissions.csv https://huggingface.co/transformersbook/xlm-roberta-base-finetuned-panx-it/resolve/main/emissions.csv
318 Bytes
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2021-10-24T13:23:50,52a1ba5b-17c0-443c-8f64-84cf2233bfa8,codecarbon,23.379249095916748,0.0004969181962434082,0.0008733184468249704,Netherlands,NLD,nan,Y,gcp,europe-west4 | |