Instructions to use maretamasaeva/RobBERT_sample2000_b8_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maretamasaeva/RobBERT_sample2000_b8_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maretamasaeva/RobBERT_sample2000_b8_e4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maretamasaeva/RobBERT_sample2000_b8_e4") model = AutoModelForSequenceClassification.from_pretrained("maretamasaeva/RobBERT_sample2000_b8_e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e6c69e91ccacada4911fa120aa0a06702d2aad6b31b47e768dc3612b4bcd2cc
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size 467276740
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