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:
- 21e56691fad1011ba9ae3f9456a4f0ce7595d509375bc47897f78bf3f7b16116
- Size of remote file:
- 4.03 kB
- SHA256:
- cf8f5e5d43fce5e67c57ce93f1af87a460a148ec6e09bc4d8b8e59256917d8dd
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