Instructions to use muhtasham/tiny-mlm-tweet_eval-from-scratch-custom-tokenizer 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-custom-tokenizer 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-custom-tokenizer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("muhtasham/tiny-mlm-tweet_eval-from-scratch-custom-tokenizer") model = AutoModelForMaskedLM.from_pretrained("muhtasham/tiny-mlm-tweet_eval-from-scratch-custom-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:87825a9491a5d370a4fd6f68e7aeed543cd32936b55e34a148439a1049a694f4
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size 9650968
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