Of the 142524 characters on Anime Characters Database, 182 are from the franchise Transformers (Series).
Of the 142395 characters on Anime Characters Database, 41 are from the cartoon Transformers (1984).
List of Transformers film series charactersfilm series
flawed to ok. But that doesn't mean we can't rank them. Believe it or not, while this character was introduced to the Transformers brand only 10 years ago, she' has gotten enough toys for the list and has as many toys as legacy G1 characters like Sunstreaker. So let's get to it...
Showing all 29 items Jump to: Photos(16) Quotes(13) Photos Quotes Judy Witwicky:[barging into Sam's bedroom, her husband in tow]Oh, for Pete's sakes! You are so defensive! Were you... masturbating? Ron Witwicky:Judy... Sam Witwicky:[frantic]Was I master... No, Mom!
Though the characters are new, "Frenzy", "Scorponok", "Brawl/Devastator", "Blackout", "Barricade", and "Bonecrusher" are all names that have been used on Transformer characters before. Blackout's symbiotic relationship with Scorponok originated as an interpretation of Soundwave and his cassette ...
$19.99 list price. Publisher solicitation: Continuing IDW�s re-presentation of the beginnings of the TRANSFORMERS� comics lore. Join the original G1 characters as the ongoing war continues between the AUTOBOTS and DECEPTICONS. In this second collection, including issues #17-30, the AUTOBOTS...
$836,303,693 See detailed box office info on IMDbPro Technical specs Edit Runtime 2hours29minutes Color Color Sound mix SDDS Dolby Digital DTS Aspect ratio 2.39 : 1 Related news Chris Hemsworth’s ‘Transformers One’ Stomps All Over Shia Labeouf’s Films But Falls Short of Beating This $...
2013 October - "Pit Fight" -Sky Lynxis brought into the arena to once again fight of the amusement of Megatron and his warriors. 2013 November - "Escape to Nebulos" - Megatron andShockwaveattempt to stop the Autobots once and for all as Bumblebee and Springer lead a wounded, ragtag bun...
# Get tokens with special characters tokens = tokenizer(text).tokens() # Encode the sequence into IDs input_ids = xlmr_tokenizer(text, return_tensors="pt").input_ids.to(device) # Get predictions as distribution over 7 possible classes ...