Instructions to use iknlpt3/regression_xlm_roberta_divemt_ara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iknlpt3/regression_xlm_roberta_divemt_ara with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iknlpt3/regression_xlm_roberta_divemt_ara")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iknlpt3/regression_xlm_roberta_divemt_ara") model = AutoModelForSequenceClassification.from_pretrained("iknlpt3/regression_xlm_roberta_divemt_ara", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload scheduler.pt with huggingface_hub
Browse files- scheduler.pt +3 -0
scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ae85f6aed111893954b46ef72a1e2b266c299751ec754e86ccf16e944d18023
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size 627
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