Instructions to use muhtasham/tiny-mlm-tweet_eval-from-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/tiny-mlm-tweet_eval-from-scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="muhtasham/tiny-mlm-tweet_eval-from-scratch")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("muhtasham/tiny-mlm-tweet_eval-from-scratch") model = AutoModelForMaskedLM.from_pretrained("muhtasham/tiny-mlm-tweet_eval-from-scratch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40706a09fac3d0a1c38015d2234156fa27a704354d0629ab91344f02ee725aca
- Size of remote file:
- 3.52 kB
- SHA256:
- 447122f1677f36cd864949217ca10dcadd0ea8f600eb4e9708ca4edaf01e234c
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