Instructions to use finiteautomata/bertweet-base-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finiteautomata/bertweet-base-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="finiteautomata/bertweet-base-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("finiteautomata/bertweet-base-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("finiteautomata/bertweet-base-sentiment-analysis") - Inference
- Notebooks
- Google Colab
- Kaggle
This code is good
1
#8 opened about 1 month ago
by
binazas
Adding `safetensors` variant of this model
#7 opened about 1 year ago
by
SFconvertbot
[AUTOMATED] Model Memory Requirements
#6 opened about 2 years ago
by
model-sizer-bot
[AUTOMATED] Model Memory Requirements
#5 opened about 2 years ago
by
model-sizer-bot
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
ImportError: cannot import name 'expand_1d' from 'keras.engine.data_adapter'
2
#2 opened over 3 years ago
by
hipples