Instructions to use teppei727/bert-large-relation14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teppei727/bert-large-relation14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teppei727/bert-large-relation14")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("teppei727/bert-large-relation14") model = AutoModelForSequenceClassification.from_pretrained("teppei727/bert-large-relation14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.5d4fed7 -
Update README.md
aa82aa9 -
Create README.md
e9fe048
-
Upload tokenizer
0bd8959 -
Upload BertForSequenceClassification
78d3b66
-
Upload tokenizer
dd0a90c -
Upload BertForSequenceClassification
58f35be -
Upload tokenizer
b3e2fbb -
Upload BertForSequenceClassification
0bfa3fc
-
Update README.md
9c584c8 -
Create README.md
ed7ebfc
-
Upload tokenizer
9b53eb1 -
Upload BertForSequenceClassification
24bffac -
initial commit
4652378