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