Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jialicheng/imdb_bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jialicheng/imdb_bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jialicheng/imdb_bert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jialicheng/imdb_bert-base") model = AutoModelForSequenceClassification.from_pretrained("jialicheng/imdb_bert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pred_logit_test.npy from jialicheng/imdb_bert-base: direct link, hf CLI and curl.
- Browser
- Download file 200 kB
-
https://huggingface.co/jialicheng/imdb_bert-base/resolve/main/pred_logit_test.npy
- Command line
-
hf download hf://jialicheng/imdb_bert-base/pred_logit_test.npy
-
curl -L -o pred_logit_test.npy https://huggingface.co/jialicheng/imdb_bert-base/resolve/main/pred_logit_test.npy
200 kB
- Xet hash:
- e0118a15d0f072b4cf43162ce8449534247aebe7f88888e549453c38031deffb
- Size of remote file:
- 200 kB
- SHA256:
- 6772e889a33ddacf9c3f2d22208c2f505f4d44d301499d6adaecc5c4a489182c
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