Instructions to use CPMs/cpm.in.roberta-base.inclusive.seed77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CPMs/cpm.in.roberta-base.inclusive.seed77 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForFactualCounterfactualSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CPMs/cpm.in.roberta-base.inclusive.seed77") model = RobertaForFactualCounterfactualSequenceClassification.from_pretrained("CPMs/cpm.in.roberta-base.inclusive.seed77", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from CPMs/cpm.in.roberta-base.inclusive.seed77: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/CPMs/cpm.in.roberta-base.inclusive.seed77/resolve/main/optimizer.pt
- Command line
-
hf download hf://CPMs/cpm.in.roberta-base.inclusive.seed77/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CPMs/cpm.in.roberta-base.inclusive.seed77/resolve/main/optimizer.pt
997 MB
- Xet hash:
- 0c4f52a5d48816b53ba749a081ae307e3be92f9b0f40cc468ad38164f27fdea1
- Size of remote file:
- 997 MB
- SHA256:
- 1e29b942883e57043cc4992252ade0435761263fbebac1470762aa2ffa3e9cdc
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