Instructions to use ibm-research/materials.selfies-ted2m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/materials.selfies-ted2m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ibm-research/materials.selfies-ted2m")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibm-research/materials.selfies-ted2m") model = AutoModelForSeq2SeqLM.from_pretrained("ibm-research/materials.selfies-ted2m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
d9bfa88 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c56beb1afc07c44598564b3ff802d63bb2c3d364c068b0f27b126ff9f9df62bc
size 8920081
|