Instructions to use kiddothe2b/longformer-mini-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiddothe2b/longformer-mini-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kiddothe2b/longformer-mini-1024")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kiddothe2b/longformer-mini-1024") model = AutoModelForMaskedLM.from_pretrained("kiddothe2b/longformer-mini-1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3d04f5dadd8aeded5614fe0475b3fffe13ab2334027845880f5d68ff2f31a2e
- Size of remote file:
- 56.4 MB
- SHA256:
- cedb7eb8d017b78e84502a37013d0a7d7864f0c95a7b3bbe74758fbbf627522a
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