Instructions to use jkruk/distilroberta-base-ft-climateskeptics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jkruk/distilroberta-base-ft-climateskeptics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jkruk/distilroberta-base-ft-climateskeptics")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jkruk/distilroberta-base-ft-climateskeptics") model = AutoModelForMaskedLM.from_pretrained("jkruk/distilroberta-base-ft-climateskeptics", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4156098b6bdab6bb996e82027546bfa4991543829a5be5711d64e85ad18798c7
- Size of remote file:
- 329 MB
- SHA256:
- 959d7357cdf9ba7844d44c41ab6b290d30ffe086cf3e519113d127f038182839
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