Instructions to use rifkat/robert_BPE_zinc100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rifkat/robert_BPE_zinc100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rifkat/robert_BPE_zinc100k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rifkat/robert_BPE_zinc100k") model = AutoModelForMaskedLM.from_pretrained("rifkat/robert_BPE_zinc100k") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
c84f6ab | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6409118538e2863a13ce2f00fb5bd5556d8770e17cdf1fb3aa09db5203fc03d3
size 2479
|