Instructions to use kwang123/MaskedLM-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kwang123/MaskedLM-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kwang123/MaskedLM-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kwang123/MaskedLM-roberta-large") model = AutoModelForMaskedLM.from_pretrained("kwang123/MaskedLM-roberta-large") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("kwang123/MaskedLM-roberta-large")
model = AutoModelForMaskedLM.from_pretrained("kwang123/MaskedLM-roberta-large")Quick Links
MaskedLM-roberta-large
Fine-tuned on depression detection dataset
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kwang123/MaskedLM-roberta-large")