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MatthijsN
/

happy

Model card Files Files and versions

Instructions to use MatthijsN/happy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MatthijsN/happy with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="MatthijsN/happy")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("MatthijsN/happy")
model = AutoModelForMaskedLM.from_pretrained("MatthijsN/happy", device_map="auto")

Notebooks
Google Colab
Kaggle

How to use from the

Use from the

Transformers library

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="MatthijsN/happy")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("MatthijsN/happy")
model = AutoModelForMaskedLM.from_pretrained("MatthijsN/happy", device_map="auto")

Quick Links

Read model documentation
Read docs on high-level-pipeline
Read our learning resources

Roberta further pretrained on 5-star yelp reviews

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