Instructions to use pranav-s/MaterialsBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pranav-s/MaterialsBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pranav-s/MaterialsBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pranav-s/MaterialsBERT") model = AutoModelForMaskedLM.from_pretrained("pranav-s/MaterialsBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
16991ec | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:34d6035e704a81360e8eef77c2b9cf775a348f0825c1ff20a60ee653d62429de
size 438141995
|