from transformers import AutoTokenizer, ROBERTAClassifier

tokenizer = AutoTokenizer.from_pretrained("ivalig94/Robertweet-large")

model = ROBERTAClassifier.from_pretrained("ivalig94/Robertweet-large")
{"license": "afl-3.0"}
transformers pytorch roberta license:afl-3.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #license-afl-3.0 #endpoints_compatible #region-us 

from transformers import AutoTokenizer, ROBERTAClassifier

tokenizer = AutoTokenizer.from_pretrained("ivalig94/Robertweet-large")

model = ROBERTAClassifier.from_pretrained("ivalig94/Robertweet-large")
TAGS
#transformers #pytorch #roberta #license-afl-3.0 #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #roberta #license-afl-3.0 #endpoints_compatible #region-us 
