Instructions to use yseop/SMM4H2024_Task1_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yseop/SMM4H2024_Task1_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yseop/SMM4H2024_Task1_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yseop/SMM4H2024_Task1_roberta") model = AutoModelForTokenClassification.from_pretrained("yseop/SMM4H2024_Task1_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
ffbfb9f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1719da579298f4008a2da808b2add116387da3c4b18a007ac2cabe6253f20d00
size 5048
|