Instructions to use jesperjmb/parlaBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jesperjmb/parlaBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jesperjmb/parlaBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jesperjmb/parlaBERT") model = AutoModelForSequenceClassification.from_pretrained("jesperjmb/parlaBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("jesperjmb/parlaBERT")
model = AutoModelForSequenceClassification.from_pretrained("jesperjmb/parlaBERT", device_map="auto")Quick Links
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Check out the documentation for more information.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jesperjmb/parlaBERT")