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