Instructions to use cardiffnlp/twitter-roberta-base-jun2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-jun2022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cardiffnlp/twitter-roberta-base-jun2022")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-jun2022") model = AutoModelForMaskedLM.from_pretrained("cardiffnlp/twitter-roberta-base-jun2022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9ba283d812824a466a1337f6008f2c2eef4cac3726fb116188f7afc33d46cc1
|
| 3 |
+
size 498875371
|