Instructions to use autonomous019/bert_small_uncased_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autonomous019/bert_small_uncased_512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autonomous019/bert_small_uncased_512")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("autonomous019/bert_small_uncased_512") model = AutoModelForSequenceClassification.from_pretrained("autonomous019/bert_small_uncased_512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
87dda1b
-
updated labels
d4ca217
-
Upload vocab.txt
fe2179e -
Upload training_args.bin
e718cc3 -
Upload tokenizer_config.json
58b0680 -
Upload tokenizer.json
7652227 -
Upload special_tokens_map.json
dade7e5 -
Upload pytorch_model.bin
6f52cbb -
Upload config.json
cdf93e2 -
initial commit
7a44d8a