Instructions to use Jennny/eng_rm_1e5_700 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jennny/eng_rm_1e5_700 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jennny/eng_rm_1e5_700")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jennny/eng_rm_1e5_700") model = AutoModelForSequenceClassification.from_pretrained("Jennny/eng_rm_1e5_700", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 136 Bytes
df8fd63 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f430e35966d1db5f1af55ed96b3a4eea291637d25eee6a4c73245015aa5e1b68
size 30019986218
|